Job Title: postdoc fellow on epigenetics or aging
Job Number: 56903
Location: Ann Arbor, US
The laboratory of Dr. Longhua Guo (guolabagingreg.com) is seeking a full-time Postdoctoral Fellow who will work on epigenetics (e.g., ATAC, HiC, CutTag) of aging and regeneration.
Qualifications: The candidate should have a recent PhD, at least one peer-reviewed publication, or one uploaded preprint. Expertise in epigenetic assays and bioinformatic analysis are strongly encouraged to apply. Research background in sexual reproduction or aging is strongly encouraged to apply.
How To Apply: Interested candidates should submit their CV as well as cover letter, the names and contact information for three references to Dr. Longhua Guo by email ([Please click the Apply button for the link or email], CCed to [Please click the Apply button for the link or email] ).
The Guo Lab is part of the Department of Molecular and Integrative Physiology, at the University of Michigan. University of Michigan is ranked #1 public university in the US and #24 research university around the world. The lab is in a modern building, and the Institute of Gerontology/the Paul F. Glenn Center for Biology of Aging Research, which has a collaborative, supportive and diverse research environment. The lab studies the most exciting questions in the field of aging and regeneration in two emerging animal models, the freshwater planarians, and the leopard geckos. Lots of exciting ideas and preliminary data.
The lab seeks a balance of both dry lab and wet lab components. The lab has expertise in genetics and genomics, including single cell mRNA sequencing, and molecular and cellular biology. For more information about the lab, please visit our lab’s website: https://guolabagingreg.com/
The lab will support the candidates to obtain necessary training in the field of stem cells, aging and regeneration, and to build a strong path for the candidate’s future career development. The University of Michigan is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.
Application Deadline: 2023-11-30